code: def forward(self, input1, input2):
      input1 = torch.cat(
          [input1, input1.new_ones(*input1.size()[:-1], 1)],
          len(input1.size()) - 1,
      )
      input2 = torch.cat(
          [input2, input2.new_ones(*input2.size()[:-1], 1)],
          len(input2.size()) - 1,
      )
      return self.W_bilin(input1, input2)
  
file_path: stanza/stanza/models/common/biaffine.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the BiaffineScorer obj's underlying member method code with example usage: obj.forward(input1, input2) and returns: self